Accessibility settings

This paper is in the following e-collection/theme issue:

Data Science (712) Cardiology (284) Electronic Health Records (1752) Advanced Data Analytics in eHealth (361) Secondary Use of Clinical Data for Research and Surveillance (641) Machine Learning (3248) Hypertension Prevention and Treatment (351)

Published on in Vol 28 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87084, first published .
Doctor taking blood pressure reading of a patient's arm with a sphygmomanometer

Evaluation of a National Health Service Machine-Learning Model for Hypertension Case-Finding: Retrospective Cohort Study

Evaluation of a National Health Service Machine-Learning Model for Hypertension Case-Finding: Retrospective Cohort Study

Authors of this article:

Gloria Ihenetu1 Author Orcid Image ;   Ahmad Alkhatib1 Author Orcid Image ;   Vesselin Novov1 Author Orcid Image ;   Thomas Beaney1 Author Orcid Image ;   Azeem Majeed1 Author Orcid Image ;   Paul Aylin1 Author Orcid Image ;   Thomas Woodcock1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually